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Machine Vs Humans! How machines defeated experts in games! (PHOTOS)

Machine Vs Humans! How machines defeated experts in games! (PHOTOS)

This write-up examines past games between Humans and Computers.


IBM's DEEP BLUE Vs Garry Kasparov

IBM’s Deep Blue computer beats chess champion Garry Kasparov. The player had beaten Deep Blue a year earlier. Deep Blue was a chess-playing computer developed by IBM.

It is known for being the first computer chess-playing system to win both a chess game and a chess match against a reigning world champion under regular time controls.

Development for Deep Blue began in 1985 with the ChipTest project at Carnegie Mellon University.

IBM's Watson

Watson, IBM’s room-size question-answering computer, beats long-running Jeopardy! champion Ken Jennings, who jokingly writes on his final entry, “I for one welcome our new computer overlords.”

Watson is a question answering computer system capable of answering questions posed in natural language, developed in IBM's DeepQA project by a research team led by principal investigator David Ferrucci.

The computer system was specifically developed to answer questions on the quiz show Jeopardy! and, in 2011, the Watson computer system competed on Jeopardy! against former winners Brad Rutter and Ken Jennings winning the first place prize of $1 million.

Watson had access to 200 million pages of structured and unstructured content consuming four terabytes of disk storage including the full text of Wikipedia, but was not connected to the Internet during the game.


AlphaGo, designed by Google’s London-based company DeepMind to play the board game Go, defeats Fan Hui five games to none. The program went on to win 60–0 against world champion Ke Jie in 2017.

In October 2015, the distributed version of AlphaGo defeated the European Go champion Fan Hui, a 2-dan (out of 9 dan possible) professional, five to zero. This was the first time a computer Go program had beaten a professional human player on a full-sized board without handicap.

The announcement of the news was delayed until 27 January 2016 to coincide with the publication of a paper in the journal Nature describing the algorithms used.


Libratus, a computer program designed at Carnegie Mellon, beats four of the world’s best players at Texas Hold ’em. Poker, with skills such as bluffing needed for winning consistently, is considered one of the hardest games for computers to beat humans at.

From January 11 to 31, 2017, Libratus was pitted in a tournament against four top-class human poker players, namely Jason Les, Dong Kim, Daniel McAulay and Jimmy Chou.

In order to gain results of more statistical significance, 120,000 hands were to be played, a 50% increase compared to the previous tournament that Claudico played in 2015. To manage the extra volume, the duration of the tournament was increased from 13 to 20 days.

Libratus had been leading against the human players from day one of the tournament.

The player Dong Kim was quoted on the AI's strength as follows: "I didn’t realize how good it was until today. I felt like I was playing against someone who was cheating, like it could see my cards. I’m not accusing it of cheating. It was just that good."

Credits- Wikipedia and TIME-Artificial Intelligence.
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